xiarixiaoyao commented on a change in pull request #3203:
URL: https://github.com/apache/hudi/pull/3203#discussion_r718189151



##########
File path: 
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/realtime/HoodieParquetRealtimeInputFormat.java
##########
@@ -66,6 +90,138 @@
     return HoodieRealtimeInputFormatUtils.getRealtimeSplits(job, fileSplits);
   }
 
+  /**
+   * keep the logical of mor_incr_view as same as spark datasource.
+   * to do: unify the incremental view code between hive/spark-sql and spark 
datasource

Review comment:
       the logic has already be unified,now the logic of hive incremental and 
spark incremental is  same。     but to do unify the code  has  a  little 
difficult。  may be can do it in another pr。

##########
File path: 
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/realtime/HoodieMergedLogReader.java
##########
@@ -0,0 +1,145 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.realtime;
+
+import java.io.IOException;
+import java.text.MessageFormat;
+import java.util.Iterator;
+
+import org.apache.avro.generic.GenericRecord;
+import org.apache.hadoop.io.ArrayWritable;
+import org.apache.hadoop.io.NullWritable;
+import org.apache.hadoop.io.Writable;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapred.RecordReader;
+import org.apache.hudi.avro.HoodieAvroUtils;
+import org.apache.hudi.common.model.HoodieRecord;
+import org.apache.hudi.common.model.HoodieRecordPayload;
+import org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner;
+import org.apache.hudi.common.util.Option;
+import org.apache.hudi.hadoop.utils.HoodieRealtimeRecordReaderUtils;
+import org.apache.log4j.LogManager;
+import org.apache.log4j.Logger;
+
+/**
+ * Record Reader implementation to read avro data, to support inc queries.
+ */
+public class HoodieMergedLogReader extends AbstractRealtimeRecordReader
+    implements RecordReader<NullWritable, ArrayWritable> {
+  private static final Logger LOG = 
LogManager.getLogger(AbstractRealtimeRecordReader.class);
+  private final HoodieMergedLogRecordScanner logRecordScanner;
+  private final Iterator<HoodieRecord<? extends HoodieRecordPayload>> 
logRecordsKeyIterator;
+  private ArrayWritable valueObj;
+  private boolean supportTimeStamp = false;
+
+  private int end;
+  private int offset;
+
+  public HoodieMergedLogReader(RealtimeSplit split, JobConf job, 
HoodieMergedLogRecordScanner logRecordScanner) {
+    super(split, job);
+    this.logRecordScanner = logRecordScanner;
+    this.end = logRecordScanner.getRecords().size();
+    this.logRecordsKeyIterator = logRecordScanner.iterator();
+    this.valueObj = new ArrayWritable(Writable.class, new 
Writable[getHiveSchema().getFields().size()]);
+  }
+
+  private Option buildGenericRecordwithCustomPayload(HoodieRecord record) 
throws IOException {
+    if (usesCustomPayload) {
+      return record.getData().getInsertValue(getWriterSchema());
+    } else {
+      return record.getData().getInsertValue(getReaderSchema());
+    }
+  }
+
+  @Override
+  public boolean next(NullWritable key, ArrayWritable arrayWritable) throws 
IOException {
+    if (!logRecordsKeyIterator.hasNext()) {
+      return false;
+    }
+    Option<GenericRecord> rec;
+    HoodieRecord currentRecord = logRecordsKeyIterator.next();
+
+    rec = buildGenericRecordwithCustomPayload(currentRecord);
+    // try to skip delete record
+    while (!rec.isPresent() && logRecordsKeyIterator.hasNext()) {
+      offset++;
+      rec = buildGenericRecordwithCustomPayload(logRecordsKeyIterator.next());
+    }
+    if (!rec.isPresent()) {
+      return false;
+    }
+
+    GenericRecord recordToReturn = rec.get();
+    if (usesCustomPayload) {
+      // If using a custom payload, return only the projection fields. The 
readerSchema is a schema derived from
+      // the writerSchema with only the projection fields
+      recordToReturn = HoodieAvroUtils.rewriteRecord(rec.get(), 
getReaderSchema());
+    }
+    ArrayWritable curWritable = (ArrayWritable) 
HoodieRealtimeRecordReaderUtils.avroToArrayWritable(recordToReturn, 
getHiveSchema());
+
+    if (arrayWritable != curWritable) {
+      final Writable[] arrValue = arrayWritable.get();
+      final Writable[] arrCurrent = curWritable.get();
+      if (arrayWritable != null && arrValue.length == arrCurrent.length) {
+        System.arraycopy(arrCurrent, 0, arrValue, 0, arrCurrent.length);
+      } else {
+        if (arrValue.length != arrCurrent.length) {
+          throw new IOException(MessageFormat.format("HoodieMergeLogReader : 
size of object differs. Value size :  {0}, Current Object size : {1}",
+              arrValue.length, arrCurrent.length));
+        } else {
+          throw new IOException("HoodieMergeLogReader can not support 
RecordReaders that don't return same key & value & value is null");
+        }
+      }
+    }
+
+    offset++;
+    return true;
+  }
+
+  @Override
+  public NullWritable createKey() {
+    return null;
+  }
+
+  @Override
+  public ArrayWritable createValue() {
+    return valueObj;
+  }
+
+  @Override
+  public long getPos() throws IOException {
+    return offset;
+  }
+
+  @Override
+  public void close() throws IOException {
+    if (logRecordScanner != null) {
+      logRecordScanner.close();
+    }
+  }
+
+  @Override
+  public float getProgress() throws IOException {
+    if (end == offset) {
+      return 0.0f;

Review comment:
       oh, no。 i am sorry for it

##########
File path: 
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/realtime/HoodieMergedLogReader.java
##########
@@ -0,0 +1,145 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.realtime;
+
+import java.io.IOException;
+import java.text.MessageFormat;
+import java.util.Iterator;
+
+import org.apache.avro.generic.GenericRecord;
+import org.apache.hadoop.io.ArrayWritable;
+import org.apache.hadoop.io.NullWritable;
+import org.apache.hadoop.io.Writable;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapred.RecordReader;
+import org.apache.hudi.avro.HoodieAvroUtils;
+import org.apache.hudi.common.model.HoodieRecord;
+import org.apache.hudi.common.model.HoodieRecordPayload;
+import org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner;
+import org.apache.hudi.common.util.Option;
+import org.apache.hudi.hadoop.utils.HoodieRealtimeRecordReaderUtils;
+import org.apache.log4j.LogManager;
+import org.apache.log4j.Logger;
+
+/**
+ * Record Reader implementation to read avro data, to support inc queries.
+ */
+public class HoodieMergedLogReader extends AbstractRealtimeRecordReader
+    implements RecordReader<NullWritable, ArrayWritable> {
+  private static final Logger LOG = 
LogManager.getLogger(AbstractRealtimeRecordReader.class);
+  private final HoodieMergedLogRecordScanner logRecordScanner;
+  private final Iterator<HoodieRecord<? extends HoodieRecordPayload>> 
logRecordsKeyIterator;
+  private ArrayWritable valueObj;
+  private boolean supportTimeStamp = false;
+
+  private int end;
+  private int offset;
+
+  public HoodieMergedLogReader(RealtimeSplit split, JobConf job, 
HoodieMergedLogRecordScanner logRecordScanner) {
+    super(split, job);
+    this.logRecordScanner = logRecordScanner;
+    this.end = logRecordScanner.getRecords().size();
+    this.logRecordsKeyIterator = logRecordScanner.iterator();
+    this.valueObj = new ArrayWritable(Writable.class, new 
Writable[getHiveSchema().getFields().size()]);
+  }
+
+  private Option buildGenericRecordwithCustomPayload(HoodieRecord record) 
throws IOException {
+    if (usesCustomPayload) {
+      return record.getData().getInsertValue(getWriterSchema());
+    } else {
+      return record.getData().getInsertValue(getReaderSchema());
+    }
+  }
+
+  @Override
+  public boolean next(NullWritable key, ArrayWritable arrayWritable) throws 
IOException {
+    if (!logRecordsKeyIterator.hasNext()) {
+      return false;
+    }
+    Option<GenericRecord> rec;
+    HoodieRecord currentRecord = logRecordsKeyIterator.next();
+
+    rec = buildGenericRecordwithCustomPayload(currentRecord);
+    // try to skip delete record
+    while (!rec.isPresent() && logRecordsKeyIterator.hasNext()) {
+      offset++;
+      rec = buildGenericRecordwithCustomPayload(logRecordsKeyIterator.next());
+    }
+    if (!rec.isPresent()) {
+      return false;
+    }
+
+    GenericRecord recordToReturn = rec.get();
+    if (usesCustomPayload) {
+      // If using a custom payload, return only the projection fields. The 
readerSchema is a schema derived from
+      // the writerSchema with only the projection fields
+      recordToReturn = HoodieAvroUtils.rewriteRecord(rec.get(), 
getReaderSchema());
+    }
+    ArrayWritable curWritable = (ArrayWritable) 
HoodieRealtimeRecordReaderUtils.avroToArrayWritable(recordToReturn, 
getHiveSchema());
+
+    if (arrayWritable != curWritable) {
+      final Writable[] arrValue = arrayWritable.get();
+      final Writable[] arrCurrent = curWritable.get();
+      if (arrayWritable != null && arrValue.length == arrCurrent.length) {
+        System.arraycopy(arrCurrent, 0, arrValue, 0, arrCurrent.length);

Review comment:
       yes, i will remove it。

##########
File path: hudi-common/src/main/java/org/apache/hudi/common/fs/FSUtils.java
##########
@@ -336,6 +336,11 @@ public static String getFileExtensionFromLog(Path logPath) 
{
     return matcher.group(3);
   }
 
+  public static String getLogFileExtension(String fullName) {
+    Matcher matcher = LOG_FILE_PATTERN.matcher(fullName);

Review comment:
       getFileExtensionFromLog will throw InvalidHoodiePathException is the 
file is not a log file。  When we check whether the current file is a log file, 
we don’t want to throw an exception

##########
File path: 
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/realtime/HoodieMergedLogReader.java
##########
@@ -0,0 +1,145 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop.realtime;
+
+import java.io.IOException;
+import java.text.MessageFormat;
+import java.util.Iterator;
+
+import org.apache.avro.generic.GenericRecord;
+import org.apache.hadoop.io.ArrayWritable;
+import org.apache.hadoop.io.NullWritable;
+import org.apache.hadoop.io.Writable;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapred.RecordReader;
+import org.apache.hudi.avro.HoodieAvroUtils;
+import org.apache.hudi.common.model.HoodieRecord;
+import org.apache.hudi.common.model.HoodieRecordPayload;
+import org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner;
+import org.apache.hudi.common.util.Option;
+import org.apache.hudi.hadoop.utils.HoodieRealtimeRecordReaderUtils;
+import org.apache.log4j.LogManager;
+import org.apache.log4j.Logger;
+
+/**
+ * Record Reader implementation to read avro data, to support inc queries.
+ */
+public class HoodieMergedLogReader extends AbstractRealtimeRecordReader
+    implements RecordReader<NullWritable, ArrayWritable> {
+  private static final Logger LOG = 
LogManager.getLogger(AbstractRealtimeRecordReader.class);
+  private final HoodieMergedLogRecordScanner logRecordScanner;
+  private final Iterator<HoodieRecord<? extends HoodieRecordPayload>> 
logRecordsKeyIterator;
+  private ArrayWritable valueObj;
+  private boolean supportTimeStamp = false;
+
+  private int end;
+  private int offset;
+
+  public HoodieMergedLogReader(RealtimeSplit split, JobConf job, 
HoodieMergedLogRecordScanner logRecordScanner) {
+    super(split, job);
+    this.logRecordScanner = logRecordScanner;
+    this.end = logRecordScanner.getRecords().size();
+    this.logRecordsKeyIterator = logRecordScanner.iterator();
+    this.valueObj = new ArrayWritable(Writable.class, new 
Writable[getHiveSchema().getFields().size()]);
+  }
+
+  private Option buildGenericRecordwithCustomPayload(HoodieRecord record) 
throws IOException {
+    if (usesCustomPayload) {

Review comment:
       ok

##########
File path: 
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/PathWithLogFilePath.java
##########
@@ -0,0 +1,96 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop;
+
+import org.apache.hadoop.fs.Path;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * we need to encode additional information in Path to track matching log file 
and base files.
+ * Hence, this weird looking class which tracks an log/base file status
+ */
+public class PathWithLogFilePath extends Path {
+
+  private boolean belongToIncrementalPath = false;
+  private List<String> deltaLogPaths = new ArrayList<>();

Review comment:
       ok

##########
File path: 
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/realtime/HoodieParquetRealtimeInputFormat.java
##########
@@ -119,6 +275,11 @@ void addProjectionToJobConf(final RealtimeSplit 
realtimeSplit, final JobConf job
     addProjectionToJobConf(realtimeSplit, jobConf);
     LOG.info("Creating record reader with readCols :" + 
jobConf.get(ColumnProjectionUtils.READ_COLUMN_NAMES_CONF_STR)
         + ", Ids :" + 
jobConf.get(ColumnProjectionUtils.READ_COLUMN_IDS_CONF_STR));
+
+    // for log only split, we no need parquet reader, set it to empty
+    if (realtimeSplit.getPath().toString().contains(".log.")) {
+      return new HoodieRealtimeRecordReader(realtimeSplit, jobConf, new 
HoodieEmptyRecordReader());
+    }

Review comment:
       agree

##########
File path: 
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/realtime/RealtimeCompactedRecordReader.java
##########
@@ -55,13 +55,20 @@
   private final Set<String> deltaRecordKeys;
   private int recordKeyIndex = 
HoodieInputFormatUtils.HOODIE_RECORD_KEY_COL_POS;
   private Iterator<String> deltaItr;
+  private boolean logFileOnlySplit;
+  private HoodieMergedLogReader logReader;
 
   public RealtimeCompactedRecordReader(RealtimeSplit split, JobConf job,
       RecordReader<NullWritable, ArrayWritable> realReader) throws IOException 
{
     super(split, job);
     this.parquetReader = realReader;
-    this.deltaRecordMap = getMergedLogRecordScanner().getRecords();
+    HoodieMergedLogRecordScanner hoodieMergedLogRecordScanner = 
getMergedLogRecordScanner();
+    this.deltaRecordMap = hoodieMergedLogRecordScanner.getRecords();
     this.deltaRecordKeys = new HashSet<>(this.deltaRecordMap.keySet());
+    if (split.getPath().toString().contains(".log.")) {
+      this.logFileOnlySplit = true;

Review comment:
       agree

##########
File path: 
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/utils/HoodieInputFormatUtils.java
##########
@@ -445,10 +457,21 @@ public static HoodieMetadataConfig 
buildMetadataConfig(Configuration conf) {
         HoodieTableFileSystemView fsView = 
fsViewCache.computeIfAbsent(metaClient, tableMetaClient ->
             
FileSystemViewManager.createInMemoryFileSystemViewWithTimeline(engineContext, 
tableMetaClient, buildMetadataConfig(job), timeline));
         List<HoodieBaseFile> filteredBaseFiles = new ArrayList<>();
+        Map<HoodieLogFile, List<String>> filteredLogs = new HashMap<>();
         for (Path p : entry.getValue()) {

Review comment:
       will change it。 

##########
File path: 
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/utils/HoodieRealtimeInputFormatUtils.java
##########
@@ -120,28 +147,32 @@
             .orElse(Stream.empty());
 
         // subgroup splits again by file id & match with log files.
-        Map<String, List<FileSplit>> groupedInputSplits = 
partitionsToParquetSplits.get(partitionPath).stream()
-            .collect(Collectors.groupingBy(split -> 
FSUtils.getFileId(split.getPath().getName())));
+        Map<String, List<FileSplit>> groupedInputSplits = 
filteredPartitionsToParquetSplits.get(partitionPath).stream()
+            .collect(Collectors.groupingBy(split -> {
+              String fileName = split.getPath().getName();
+              // mor snapsht view may contains some raw log files, for 
example: if user use Hbase index, hudi will produce only log Files
+              if (split instanceof BaseFileWithLogsSplit && 
((BaseFileWithLogsSplit) split).getBaseFilePath().isEmpty()) {
+                fileName = split.getPath().getName().substring(1, 
fileName.length() - 1);
+              }

Review comment:
       agree

##########
File path: 
hudi-hadoop-mr/src/main/java/org/apache/hudi/hadoop/BaseFileWithLogsSplit.java
##########
@@ -0,0 +1,109 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hudi.hadoop;
+
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapred.FileSplit;
+
+import java.io.DataInput;
+import java.io.DataOutput;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.List;
+
+public class BaseFileWithLogsSplit extends FileSplit {

Review comment:
       ok




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